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perform tasks such as: Designing, developing, and maintaining automation solutions using Python and other technologies to reduce manual effort, improve operational efficiency, and streamline business and
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diverse academic backgrounds are encouraged to apply. Strong interest in academic research and research-oriented careers. Strong quantitative and analytical skills; proficiency in R, Python, Stata, SQL
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. Experience with machine learning algorithms and strong programming skills using platforms such as MATLAB, R, Bash and Python will be essential. For informal inquiries regarding the role, contact Prof Maura
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generation, and hallucination mitigation. Strong Python skills and experience with PyTorch, modern LLM frameworks, APIs, microservices, and evaluation of retrieval precision/recall and factuality. Experience
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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. Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows environment. Preferred Qualifications Education: Master's degree, Ph.D. - Doctor of Philosophy
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organizational skills. ? Ability to manage time and multitask effectively. Preferred Qualifications: ? At least 1 year of research experience. ? Experience coding in bash, Python and/or R environments
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, preparing imaging data, assisting with data collection, and executing established Python-based machine learning workflows. The employee will also perform quality assurance checks, document results, and
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Qualifications PhD, Computational Biology, Bioinformatics, Computer Science Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl
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dynamics, muscle recruitment and the interpretation of joint forces and torques. Proficiency in relevant modelling tools, such as OpenSim, AnyBody or equivalent software, and in Python or MATLAB